I’ve been working with some linear programming (LP) lately, and have looked at a bunch of non-commercial, non-Academic-use tools for LP, and in particular IP (integer programming). Open source solvers I’ve looked at include:
Gnu GLPK’s glpsol
I’m working on a scheduling project and have so far been using linear programming tools. As I look down the road, I’m beginning to think that I’ll need to supplement or move beyond LP, perhaps with something like constraint programming (CP) techniques. Unfortunately, the CP arena seems to be littered with tools that are highly-spoken of but are no longer (or barely) supported. Anyone out there who can address CP tools?
So far, I’m leaning towards OscaR, because it seems fairly complete and it’s in Scala which is the Official General-Purpose Language of Thinkinator. I’ve looked at a variety of CP tools like Zinc (seems dead) and MiniZinc (seems barely alive), Geocode (C++), JaCoP (java-based), Choco (java-based), Comet (seems dead), etc. It’s a bit worrisome when I compare the level of activity and the apparent long-term stability of these projects to linear programming (Symphony, glpsol, lpsolv, etc).
Any experiences or insights on CP tools? (I’d prefer standalone tools with high-level syntax or Scala/Java-based tools, and not C++/Prolog-based tools.) Thanks!
There are many free online training opportunities, and many of them are reasonable experiences. For example, you can watch videos from Stanford on Youtube, and I’m sure other services come to mind. Today I want to recommend Coursera, which I’m pretty impressed with.
Scala is now the official general-purpose programming language of thinkinator. I still really like R and use it every day, but it’s not a great choice for a general-purpose programming language. I wanted to adopt a language that runs on the JVM (Java, Scala, Clojure, Groovie, et al) that’s fun to use, but deep. Clojure is tempting — I love Lisp — but ultimately, Scala won out. I can highly recommend it!